Individualized Dose-Response to Statins Associated With Cardiovascular Disease Outcomes

JACC: Advances(2024)

引用 0|浏览3
暂无评分
摘要
Background Statins reduce low-density lipoprotein cholesterol (LDL-C) and are efficacious in the prevention of atherosclerotic cardiovascular disease (ASCVD). Dose-response to statins varies among patients and can be modeled using 3 distinct pharmacological properties: 1) E0 (baseline LDL-C), 2) ED50 (potency: median dose achieving 50% reduction in LDL-C); and 3) Emax (efficacy: maximum LDL-C reduction). However, individualized dose-response and its association with ASCVD events remains unknown. Objectives The authors analyzed the relationship between ED50 and Emax with real-world cardiovascular disease outcomes. Methods We leveraged deidentified electronic health record data to identify individuals exposed to multiple doses of the 3 most commonly prescribed statins (atorvastatin, simvastatin, or rosuvastatin) within the context of their longitudinal health care. We derived ED50 and Emax to quantify the relationship with a composite primary end point of ASCVD events (ischemic heart disease, cerebrovascular disease, peripheral vascular disease, coronary artery revascularization procedure) and all-cause mortality. Results We estimated ED50 and Emax for 3,033 unique individuals (atorvastatin: 1,632, simvastatin: 1,089, and rosuvastatin: 312) using a nonlinear, mixed effects dose-response model. Time-to-event analyses revealed that ED50 and Emax are independently associated with the primary end point. Hazard ratios were 0.85 (P < 0.01), 0.83 (P < 0.01), and 0.87 (P = 0.10) for ED50 and 1.13 (P < 0.001), 1.06 (P < 0.001), and 1.15 (P = 0.009) for Emax in the atorvastatin, simvastatin, and rosuvastatin cohorts, respectively. Conclusions The class-wide association of ED50 and Emax with clinical outcomes indicates that these measures influence the risk for ASCVD events in patients on statins.
更多
查看译文
关键词
cardiovascular outcomes,dose response,pharmacodynamics,precision medicine,statin
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要